EN Seminars

Wireless IoT in particle accelerators: a practical approach with the IoT Radiation Monitor

by Salvatore Danzeca (CERN)

Europe/Zurich
Description

The Internet of Things, or IoT for short, is an ecosystem comprised of web-enabled “smart devices” that embed sensors and communication hardware to collect, send and act on data they acquire from their environments. In particle accelerators this concept/model is not new, all the systems and instruments, are connected to the network to receive and send data that will be stored, analyzed, and used. What is missing in a particle accelerator from the IoT world is the concept of “smart devices”, in particular when talking about connectivity, mainly wireless connectivity. The IoT world is strongly supported by wireless technologies that allow the devices to be easily deployable, quickly operational, and drastically reduce the infrastructure costs. This presentation will demonstrate the advantages of using an IoT technology in a particle accelerator, with the practical example of the “wireless IoT Radiation Monitor”.  

Since 2008, Radiation Monitors (RadMons) are the “eye” of the Radiation To Electronics project (R2E). They monitor the radiation levels in the CERN accelerators and allow identifying instantaneous failures of electronic equipment caused by radiation. As it is the case for many accelerator instruments, these devices are fixed in one location and the movements are limited. The wireless IoT Radiation Monitors have been conceived to answer the increasingly frequent requests of radiation measurements where the infrastructure is not available.

The IoT Radiation Monitor device is unique in its kind because it is a radiation tolerant device capable of communicating with a wireless network and run over batteries for several years. The technologies used for the project are presented, along with the possibilities that they introduce in a particle accelerator. The IoT Radiation Monitor, since the beginning of its development, has been conceived to be an application-independent platform, where different sensors and applications can be embedded. This can pave the way to different and heterogeneous implementations and applications that, up to now, would have been impractical.

 

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https://cern.zoom.us/j/95838331675

Meeting ID: 958 3833 1675